StockSharp.Strategies.0242_Volatility_Mean_Reversion.py
5.0.1
Prefix Reserved
dotnet add package StockSharp.Strategies.0242_Volatility_Mean_Reversion.py --version 5.0.1
NuGet\Install-Package StockSharp.Strategies.0242_Volatility_Mean_Reversion.py -Version 5.0.1
<PackageReference Include="StockSharp.Strategies.0242_Volatility_Mean_Reversion.py" Version="5.0.1" />
<PackageVersion Include="StockSharp.Strategies.0242_Volatility_Mean_Reversion.py" Version="5.0.1" />
<PackageReference Include="StockSharp.Strategies.0242_Volatility_Mean_Reversion.py" />
paket add StockSharp.Strategies.0242_Volatility_Mean_Reversion.py --version 5.0.1
#r "nuget: StockSharp.Strategies.0242_Volatility_Mean_Reversion.py, 5.0.1"
#:package StockSharp.Strategies.0242_Volatility_Mean_Reversion.py@5.0.1
#addin nuget:?package=StockSharp.Strategies.0242_Volatility_Mean_Reversion.py&version=5.0.1
#tool nuget:?package=StockSharp.Strategies.0242_Volatility_Mean_Reversion.py&version=5.0.1
Volatility Mean Reversion Strategy (Python Version)
This approach trades around fluctuations in market volatility. When the ATR deviates markedly from its moving average, it suggests volatility has become unusually high or low and may revert.
Testing indicates an average annual return of about 73%. It performs best in the crypto market.
The strategy goes long when ATR drops below the average minus DeviationMultiplier
times the standard deviation and price is below the moving average. It shorts when ATR exceeds the upper band and price is above the average. Positions exit once ATR returns toward its mean level.
Such setups work for traders who like to fade volatility extremes rather than price direction. A protective stop-loss is used in case volatility keeps expanding.
Details
- Entry Criteria:
- Long: ATR < Avg - DeviationMultiplier * StdDev && Close < MA
- Short: ATR > Avg + DeviationMultiplier * StdDev && Close > MA
- Long/Short: Both sides.
- Exit Criteria:
- Long: Exit when ATR > Avg
- Short: Exit when ATR < Avg
- Stops: Yes, percent stop-loss.
- Default Values:
AtrPeriod
= 14AveragePeriod
= 20DeviationMultiplier
= 2mCandleType
= TimeSpan.FromMinutes(5)
- Filters:
- Category: Mean Reversion
- Direction: Both
- Indicators: ATR
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Intraday
- Seasonality: No
- Neural networks: No
- Divergence: No
- Risk Level: Medium
Learn more about Target Frameworks and .NET Standard.
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Refactor strategy reset handling